title: Explosive synchronization transitions in complex neural networks.
abstract: It has been recently reported that explosive synchronization transitions can take place in networks of phase oscillators [Gómez-Gardeñes et al. Phys. Rev. Lett. 106, 128701 (2011)] and chaotic oscillators [Leyva et al. Phys. Rev. Lett. 108, 168702 (2012)]. Here, we investigate the effect of a microscopic correlation between the dynamics and the interacting topology of coupled FitzHugh-Nagumo oscillators on phase synchronization transition in Barabási-Albert (BA) scale-free networks and Erdös-Rényi (ER) random networks. We show that, if natural frequencies of the oscillations are positively correlated with node degrees and the width of the frequency distribution is larger than a threshold value, a strong hysteresis loop arises in the synchronization diagram of BA networks, indicating the evidence of an explosive transition towards synchronization of relaxation oscillators system. In contrast to the results in BA networks, in more homogeneous ER networks, the synchronization transition is always of continuous type regardless of the width of the frequency distribution. Moreover, we consider the effect of degree-mixing patterns on the nature of the synchronization transition, and find that the degree assortativity is unfavorable for the occurrence of such an explosive transition.
authors.affiliation: School of Physics and Materials Science, Anhui University, Hefei 230039, People's Republic of China.
authors.forename: Hanshuang
authors.initials: H
authors.lastname: Chen
authors.forename: Gang
authors.initials: G
authors.lastname: He
authors.forename: Feng
authors.initials: F
authors.lastname: Huang
authors.forename: Chuansheng
authors.initials: C
authors.lastname: Shen
authors.forename: Zhonghuai
authors.initials: Z
authors.lastname: Hou
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D048888:Fireflies; D006801:Humans; D015233:Models, Statistical; D009415:Nerve Net; D009474:Neurons / Q000502:physiology; D017711:Nonlinear Dynamics; D009991:Oscillometry / Q000379:methods; D013997:Time Factors